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Bayesian networks
Results: 613

#	Item
501	Laplace Maximum Margin Markov Networks Jun Zhu†∗ [removed] Eric P. Xing† [removed] Bo Zhang∗ Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-21 03:17:20 Machine learning Graphical models Conditional random field Theoretical computer science Kullback–Leibler divergence Pattern recognition Gibbs sampling Support vector machine Principle of maximum entropy Statistics Statistical theory Bayesian statistics
502	Context and Hierarchy in a Probabilistic Image Model Ya Jin Division of Applied Mathematics Brown University Stuart Geman Add to Reading List Source URL: www.dam.brown.edu Language: English - Date: 2006-09-25 21:19:54 Bayesian statistics Probability and statistics Graphical models Networks Markov property Markov random field BRICKS Pattern recognition Bayesian network Statistics Statistical models Machine learning
503	Networks of Relations for Representation, Learning, and Generalization Matthew Cook and Jehoshua Bruck California Institute of Technology Mail Stop[removed]Pasadena, California, 91125 USA Add to Reading List Source URL: www.paradise.caltech.edu Language: English - Date: 2005-11-02 15:07:33 Variables Regression analysis Graphical models Bayesian network Networks Parameter Function Correlation and dependence Dependent and independent variables Mathematics Statistics Elementary mathematics
504	Probabilistic models for decision support under climate change:An example using bull trout in the Boise River basin Add to Reading List Source URL: www.fs.fed.us Language: English - Date: 2014-06-10 20:27:29 Global warming Bayesian network Networks Uncertainty Climate change scenario Economic model Statistics Bayesian statistics Statistical models
505	Naive Bayes Models for Probability Estimation Daniel Lowd LOWD @ CS . WASHINGTON . EDU Pedro Domingos PEDROD @ CS . WASHINGTON . EDU Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:48 Probability theory Statistical models Networks Bayesian network Gibbs sampling Naive Bayes classifier Markov random field Expectation–maximization algorithm Belief propagation Statistics Bayesian statistics Graphical models
506	Learning Class-Discriminative Dynamic Bayesian Networks John Burge Terran Lane Department of Computer Science, University of New Mexico Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:43 Statistical models Statistical classification Graphical models Bayesian network Maximum likelihood Naive Bayes classifier Speech recognition Kullback–Leibler divergence Bayesian inference Statistics Bayesian statistics Statistical theory
507	Overview Background: how many people do you know? A model of overdispersion in social networks Fitting the model using the Gibbs/Metropolis sampler Results from fitting the model Confidence building Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2004-08-10 09:21:53 Econometrics Andrew Gelman Bayesian inference Overdispersion Confidence interval Peter Killworth Statistics Statistical inference Bayesian statistics
508	A General Framework for Mixed Graphical Models Genevera I. Allen Dobelman Family Junior Chair, Department of Statistics and Electrical and Computer Engineering, Rice University, Department of Pediatrics-Neurology, Baylor Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-31 13:06:15 Graphical models Bayesian statistics Networks Probability theory Markov random field Exponential family Generalized linear model Sufficient statistic Graphical models for protein structure Statistics Statistical models Probability and statistics
509	GENERAL FRAMEWORK FOR MIXED GRAPHICAL MODELS Yulia Baker Departments of Statistics and Electrical & Computer Engineering, Rice University, Department of Pediatrics-Neurology, Baylor College of Medicine, & Jan and Dan Dun Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-30 17:09:37 Statistics Theoretical computer science Statistical models Bayesian statistics Conditional random field Markov random field Mutation P53 Gene regulatory network Biology Graphical models Networks

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